This article empirically examines the research on digital strategy, addressing its temporal evolution, sources of scientific production, countries and organizations generating knowledge, and the topics investigated. It highlights key authors and journals from 1991 to 2023, contributing to Sustainable Development Goal (SDG) 9. Methodologically, traditional bibliometric laws and computational tools (VOSviewer software version 1.6.18) were applied for data processing. The results show an exponential increase in publications from 2005 to 2022 with a critical mass in digital strategy studies, concentrated in 11 journals and 83 authors with two or more publications. The main organizations leading scientific production in this field are in the USA. Finally, the primary Web of Science categories for the leading journals are Business, Management, and Psychology. The research examines the use and adoption of digital strategies in marketing, the impact of digital transformation on business models, and the challenges it poses for human resources. In addition, the challenges arising from the impact of COVID-19, the rise of artificial intelligence, and the integration of digital strategies in public administration should continue to be addressed. Finally, digital transformation is a topic of increasing interest in digital strategy studies.

In this bibliometric study, the close relationship between technology readiness and education is explored, particularly within the realm of social sciences. The main objective is to identify global trends and behaviors associated with these concepts. A qualitative scientometric review methodology was employed, focusing on the Web of Science (WoS) database, with 1366 articles analyzed. The application of various laws revealed the fundamental importance of Technology Readiness and Education for the long-term success of organizations in the digital age. Investing in the development of Technology skills strengthens competitiveness and fosters innovation. However, a minimal representation of educational topics in Social Sciences was observed, accounting for only 0.03% of the total articles. This knowledge gap is crucial to address, as training in technology and education is essential for both professional and scientific success. Having the appropriate competencies in technology and education is imperative to achieve greater productivity and professional success across various domains. En este estudio bibliométrico, se explora la estrecha relación entre la preparación tecnológica y la educación, especialmente en el ámbito de las ciencias sociales. El objetivo principal es identificar tendencias y comportamientos globales asociados con estos conceptos. Se utilizó una metodología cualitativa de revisión cienciométrica, enfocada en la base de datos de Web of Science (WoS), con 1366 artículos analizados. La aplicación de diversas leyes reveló la importancia fundamental de la Preparación Tecnológica y la Educación para el éxito a largo plazo de las organizaciones en la era digital. La inversión en el desarrollo de habilidades tecnológicas fortalece la competitividad y fomenta la innovación. Sin embargo, se observó una mínima representación de temas educativos en Ciencias Sociales, apenas el 0.03% del total de artículos. Esta brecha de conocimiento es crucial de abordar, ya que la formación en tecnología y educación es esencial para el éxito laboral y científico. Tener las competencias adecuadas en tecnología y educación es imperativo para lograr una mayor productividad y éxito profesional en diversos ámbitos.

This article examines empirically the research on digital strategy, addressing its temporal evolution, sources of scientific production, countries and organizations generating knowledge, and the topics investigated. It highlights key authors and journals from 1991 to 2023, contributing to Sustainable Development Goal (SDG) 9. Methodologically, traditional bibliometric laws and computational tools (VOSviewer software) were applied for data processing. The results show an exponential increase in publications from 2005 to 2022 with a critical mass in digital strategy studies, concentrated in 11 journals and 83 authors with 2 or more publications. The main organizations leading scientific production in this field are in the USA. Finally, the primary Web of Science categories for the leading journals are Business, Management, and Psychology. The research examines the use and adoption of digital strategies in marketing, the impact of digital transformation on business models, and the challenges it poses for human resources. In addition, the challenges arising from the impact of COVID-19, the rise of artificial intelligence, and the integration of digital strategies in public administration should continue to be addressed. Finally, industrial digital transformation and the challenges of Big Data in higher education have less connection with other key concepts analyzed.

Introducción: La inteligencia artificial (IA) se ha consolidado como una tecnología estratégica con profundas implicaciones para la economía global. En el continente americano, el estudio de su relación con la economía ha crecido de forma sostenida, reflejando su influencia en los modelos productivos, organizacionales y de decisión. Objetivo: Analizar la producción científica sobre la relación entre economía e inteligencia artificial en América mediante un estudio bibliométrico. Metodología: Se desarrolló una investigación de enfoque inductivo y bibliométrico basada en artículos indexados en Scopus, publicados entre 1985 y 2025. Se analizaron indicadores de productividad científica, colaboración y tendencias temáticas, utilizando VOSviewer para la visualización de redes de coautoría y co-ocurrencia. Resultados: Se identificaron 358 artículos provenientes de 12 países del continente, con un crecimiento notable a partir de 2016. La producción científica se concentra en pocos autores y revistas, lo que evidencia un campo aún en consolidación. Las principales líneas temáticas se vinculan con la digitalización, la sostenibilidad, la economía circular y las tecnologías emergentes. Asimismo, se observa colaboración internacional relevante, aunque con baja representación de algunos países latinoamericanos. Conclusiones: La IA se posiciona como un factor clave en la transformación de los modelos económicos y organizacionales en América. Persisten brechas regionales en la producción científica, lo que evidencia la necesidad de fortalecer la investigación en contextos aún poco explorados.

This article presents a systemic and empirically grounded analysis of the epistemic community that sustains and expands the Unified Theory of Acceptance and Use of Technology, a foundational framework for understanding technology adoption across diverse sectors. Despite its widespread use, limited attention has been given to the scholars who shape its evolution and the extent to which their work contributes to sustainable development. To address this gap, the study applies a comprehensive bibliometric methodology using Web of Science data from 2003 to 2025, incorporating the laws of Price, Lotka, Zipf, and Hirsch, along with co-authorship, cross-citation, and keyword co-occurrence network analyses, visualized through VOSviewer. The results reveal exponential growth in publications, with 2278 articles authored by 6952 researchers. Among them, 31 stand out as central actors who combine high productivity, scientific impact, and thematic relevance. These scholars form distinct collaborative clusters, and their most influential contributions build directly upon the foundational work of Venkatesh and colleagues. Co‑citation analysis identifies two epistemic clusters—a methodological–instrumental pillar and a theoretical–foundational pillar—that structure the shared knowledge base of the UTAUT community. Thematic evolution shows a shift from general constructs of technology perception toward applied domains such as artificial intelligence, mobile banking, digital education, and service platforms. This research confirms the vitality of the model as a strategic framework for analyzing digital transformation and indicates a growing thematic alignment with the Sustainable Development Goals, particularly in education, health, and urban innovation, based on automated classification. By identifying key actors and mapping knowledge networks, the study offers a replicable methodology and practical insights for designing sustainable business models that are ethically grounded, context-aware, and capable of generating long-term value.